Blog

Practical insights on codebase quality, from the team building the tools to measure it.

Why Code Quality Matters More in the Age of AI

AI tools generate code faster than ever. Without quality measurement, speed creates risk. Learn why automated quality checks matter more now.

7 Code Quality Metrics Every Engineering Team Should Track

From test coverage to cyclomatic complexity, these seven metrics give engineering teams real visibility into codebase health.

How AI Coding Assistants Affect Your Codebase Health

AI assistants accelerate development, but what happens to architecture, consistency, and testing? Explore the benefits, risks, and fixes.

What Is a Codebase Health Score?

A codebase health score distils complex quality data into a single number. Learn how scores are composed, why they help, and their limits.

PR Quality Gates: A Complete Guide

Learn how to set up PR quality gates that catch real problems without blocking your team. Covers thresholds, domains, and common pitfalls.

The Hidden Cost of Skipping Code Reviews

Skipping code reviews saves time today but creates costly problems tomorrow. Learn how bugs, knowledge silos and security gaps compound over time.

Understanding Circular Dependencies and How to Fix Them

Circular dependencies cause subtle build failures, testing pain and tight coupling. Learn how to detect them and practical strategies for breaking the cycle.

Why Your Test Coverage Number Is Misleading

High test coverage does not guarantee good tests. Learn why coverage metrics can be misleading and how to use them as one signal among many.

Static Analysis vs AI Code Review

Static analysis and AI code review each have strengths. Learn how deterministic tools and AI complement each other for more effective code quality.

A Practical Guide to Managing Technical Debt

Technical debt is inevitable but manageable. Learn how to identify, prioritise and pay down debt without stopping feature work.

How to Improve Your Codebase Architecture

Practical steps for improving codebase architecture. Cover module boundaries, coupling, layered patterns and measuring progress.

Security Patterns Every Developer Should Know

Common security anti-patterns in web codebases and how to fix them, from committed secrets to SQL injection and CORS misconfiguration.

Why Documentation Is a Code Quality Signal

Documentation reflects how well a team understands its codebase. Good docs reduce onboarding friction and operational risk.

Keeping Your Dependency Supply Chain Healthy

How to manage dependency sprawl, lockfile hygiene, transitive vulnerabilities and licence compliance in modern codebases.

Performance Anti-patterns in Modern JavaScript

Common JavaScript performance mistakes: sequential awaits, N+1 patterns, heavy imports and large bundles. How to detect and fix them.

CI/CD Quality Checks That Actually Work

Most CI quality checks get ignored or bypassed. Learn how to design checks that teams respect with fast feedback and clear thresholds.

Accessibility in Code: Beyond the Frontend

Accessibility issues hide in code, not just designs. Learn how to detect common patterns like missing alt text and removed focus styles early.

How to Measure Codebase Maintainability

Maintainability is hard to quantify. Learn the concrete signals that reveal whether a codebase is easy or hard to work with over time.

What Makes a Good Quality Gate?

Quality gates must balance strictness with developer experience. Learn how to set thresholds, get buy-in, and improve standards over time.

Code Quality in 2026: Trends and Predictions

How code quality practices are evolving in 2026. From AI-assisted reviews to multi-domain scoring, here is what engineering teams should know.